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Some alternative derivations of Craig's formula
In the performance of digital communication systems over fading channels, the error analysis is typically modelled using a Gaussian probability distribution. One function central to the analysis is what engineers routinely refer to as the (Gaussian) Q-function and is defined by 1 This is the canonic...
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Published in: | Mathematical gazette 2017-07, Vol.101 (551), p.268-279 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In the performance of digital communication systems over fading channels, the error analysis is typically modelled using a Gaussian probability distribution. One function central to the analysis is what engineers routinely refer to as the (Gaussian)
Q-function
and is defined by
1
This is the canonical representation used for the function. In this paper a number of derivations of an important alternative representation for the
Q
-function known as Craig's formula will be given. |
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ISSN: | 0025-5572 2056-6328 |
DOI: | 10.1017/mag.2017.66 |